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cs.CV2025
Describe Anything Model for Visual Question Answering on Text-rich Images
Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong +8
Recent progress has been made in region-aware vision-language modeling, particularly with the emergence of the Describe Anything Model (DAM). DAM is capable of generating detailed…
cs.CV2024
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
Thang M. Pham, Peijie Chen, Tin Nguyen +3
CLIP-based classifiers rely on the prompt containing a {class name} that is known to the text encoder. Therefore, they perform poorly on new classes or the classes whose names rare…
cs.CV2023
Leveraging Habitat Information for Fine-grained Bird Identification
Tin Nguyen, Peijie Chen, Anh Totti Nguyen
Traditional bird classifiers mostly rely on the visual characteristics of birds. Some prior works even train classifiers to be invariant to the background, completely discarding th…